Phenix
approach to environmental issues is to be proactive.
Instead of waiting for challenges from the environmental community Phenix
will implement environmental systems that will work with the environmentalists,
systems such as Ultra modern security systems to secure the pipelines from
leakage and vandalism. In
addition we will use our fiber system to provide real time eco-monitoring along
the pipeline.
Currently
Phenix has retained the services of Golder Associates, one of the largest
privately held engineering and environmental science consulting companies in the
world. With offices in
A state of the art sophisticated redundant safety system for monitoring
pipeline pressure, product temperature and equipment status, along with real
time video monitoring, connected by fiber optics will be installed along the
line and at all Valve Stations for systems automation, leak detection,
maintenance and operational purposes. During
operations, the working pressure of the pipeline will be +/- 42 kg/cm²
(600psi). Solid state microprocessor
monitors will detect pressure variances of 10% to 15%, automatically closing the
safety valves and shutting down the Pumping Stations via the fiber optic link.
In general, 2m (6’) deep trenches will be excavated for the pipeline and then
back filled with the excavated material. Topsoil stripped from the work area
excavation will be used for the final 15cm of backfill to promote the
re-establishment of the natural vegetation. The same excavation process
will be used for isolated rural roads and paths, where there will be little
impact to traffic, and dry or small streams where it is economical to do so. In
the case of main roads, rivers and large streams, a horizontal boring machine
will be used to bore under these features and insert casing for the pipes.
Network
Autonomy;
Programming
and Storage;
Tools,
Platforms, & Test beds;
Actuation;
Collaborative
Signal Processing;
Micro/Nano
Sensor Technology;
Ethic,
Legal & Social Implications; and
NIMS
Network Info-mechanical Systems.
The
CENS focus for ENS Application Research is currently on four experimental
application drivers: ecology and habitat sensing, seismic sensing and structure
response, monitoring and modeling contaminant flows, and detection and
identification of marine microorganisms. To
support this scope, CENS combines the expertise of faculty from diverse
engineering disciplines with the expertise of biological, environmental and
earth scientists. During the
lifetime of the Center, the plan is to pursue additional opportunities for
applying the technology to other natural and engineered systems.
A multifaceted education, outreach and training program ensures that CENS
and our research products, software, and technology/application research
optimally benefit the target communities.
Three of the four CENS Applications Research areas focus on Ecological and
Habitat Sensing to monitor the dynamics of biological complexity: environmental,
organismal, and cultural conditions, and the interactions between them in
natural and managed landscapes. The
overall goal continues to be in improving the design and deployment of embedded
network systems for practical ecological, terrestrial, marine, and agricultural
uses that can operate remotely, and in uncontrolled natural and settings,
capturing chemical, physiological and environmental data across a wide range of
ecological conditions, temporal and spatial scales.
Significant work has begun in the effort to provide an infrastructure to
field test Embedded Networked Sensing (ENS) and techniques within a range of
habitats and ecosystems (including in the tropics), and to deploy experimental
model systems suitable for addressing specialized and general ecological
information needs. CENS is near the
completion of new software that will enable us to increase the array to more
than 100 nodes and thousands of sensors.
A robust, 10 channel video network to observe avian behavioral activities
related to climate, nesting and reproduction.
Soil mini-risottos and below ground sensors and cameras are being
designed for measuring soil moisture, nitrate, CO2, temperature, and root/fungi
activities in response to weather. And
finally, the first permanent networked info-mechanical system (NIMS) node was
installed within the forest canopy and spanning a riparian ecosystem.
Research
Highlights:
Microclimate
Sensor and Video Enabled Networks:
2)
The ESS is designed to be the test bed for sensors, interface
hardware, RF communication hardware, communication protocols, databases and user
interfaces to be used in CENS Habitat sensing.
3)
The system will support characterization of microclimatic
influences on nesting activity and nest success
4)
The data gathered will be used to test systems for automatically
classifying nest box images in real time at remote nest sites.
Embedded
Network Sensing within Soils:
1)
A networked robotic mini-rhizotron
array is being developed for obtaining real-time, simultaneous field data on
root/mycorrhizal dynamics in conjunction with soil respiration (CO2), nutrient
flux (N, P, etc.), and moisture. Current minirhizotron cameras are cumbersome to
operate and are very time-consuming during data collection, management, and
interpretation.
2)
However, they provide valuable in situ observations impossible
through other means
3)
The soil array will be used to investigate the effect that diurnal
temperature changes have on water movement through soil and how that water
movement is affected by the presence of rocks on the soil surface.
4)
A second ESS-based micro-climate and soils monitoring system to be
deployed in a French Polynesian-based botanical garden will support study of the
micro-climate and soil preferences of traditional and contemporary Tahitian
crops of cultural, medicinal, and economic significance.
5)
Conducted a successful Soil Sensing Workshop to bring together
experts in the field, the culmination being a proposal submitted to the NSF as
well as a paper written for the journal BIOSCIENCE.
Ecophysiological studies utilizing Mobile Sensor Platforms
Sensor Arrays for Avian Acoustic pattern recognition
Video Imager and Mote Development for Agricultural and Habitat Applications